Full-Stack Data Engineer

• Write test cases and effective, clean, and maintainable code.
• Own or assist in the end-to-end creation of applications
• Create packages and reusable code
• Follow industry standards for engineering processes and design patterns when developing
• Develop efficient technological solutions while meeting business objectives
• Collaborate effectively with other teams across the organization

Job Requirements:

• Bachelor s/Master s degree in Engineering, Computer Science (or equivalent experience)
• At least 3+ years of relevant experience as a full-stack or data engineer
• In-depth knowledge and experience working with Python
• Prolific experience with open-source Python libraries like Pandas, Beautiful Soup, Dask, Ray, and Poetry
• Strong understanding of processing and transforming data in a variety of file types like xlsx, csv, xml, and JSON
• Solid understanding of OOP, Algorithms, and Data Structures
• Extensive experience in designing and implementing RESTful APIs using frameworks like FastAPI or Django Rest Framework
• In-depth knowledge of ORM concepts/querying
• Prolific experience with SQL and NoSQL databases like PostgreSQL, Redis, or DynamoDB
• Sound knowledge of working with cloud services like AWS or Azure
• Prolific experience with service virtualization/containerization with Docker
• Working knowledge of agile methodologies, the Software Development Lifecycle, and Test-Driven Development (TDD), including JIRA, Confluence, and Git
• Extensive experience with CI/CD frameworks like Bamboo or Jenkins Demonstrable experience working in a Linux environment
• Solid understanding of serverless technologies is a plus
• Strong familiarity with container orchestration platforms like Kubernetes or Docker-compose is nice to have
• Prior experience working with search solutions like Lucene, Solr, and Elasticsearch is desirable
• Nice to have some knowledge of Java, as well as, Java frameworks like Maven and Spring Boot
• Excellent English communication skills, both spoken and written